AI-related usage is growing faster than the value story customers can defend.
DevOps leaders need room to experiment while finance partners need evidence that delivery outcomes justify the spend.
Who you’d be doing this for
“My finance lead wants a number, and I’m still pulling screenshots from three different places.”
Mikhail Dumitru · DevOps Engineering Manager
Owns delivery automation and must explain platform and AI-related spending to engineering and finance leadership.
What is at stake
Customers are pausing expansion when AI-related spend reaches executive review without a shared value story. You must weigh comparable evidence against the reality that each delivery organization measures outcomes differently.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- AI experimentation vs. defensible spend
- comparable reporting vs. customer-specific outcomes
- renewal urgency vs. trustworthy evidence
- reusable programme vs. bespoke advisory depth
Why Gitlab
GitLab usage spans source control and CI/CD, making the customer success plan a practical place to connect adoption with delivery outcomes.
Written with these in mind
Not your kind of problem? 24 more at Gitlab, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.